Chang Liu
Data Scientist, Tech Accelerator, Shanghai Hub
Shanghai, Shanghai, China
Summary
🤩
Rockstar🎓
Top SchoolChang Liu is a data scientist with a decade of analytics experience who currently leads data and ML initiatives at L'Oréal's Tech Accelerator in Shanghai, specializing in financial risk pricing, consumer insight and product analytics. He has seven years of end-to-end machine learning delivery across financial services, retail and public sector clients, building teams and feature stores from scratch and translating complex models into business actions. Notable projects include multi-model insurance pricing and price optimization, CLTV modeling with Markov chains, recommender support via ALS, and energy consumption forecasting for municipal programs. Comfortable across Python, SQL, SAS and AWS SageMaker, he also contributes backend bug fixes and testing to a high-throughput Go blockchain implementation, showing a pragmatic hands-on engineering streak beyond pure ML. Known for clear stakeholder communication and workshop-led capability building, he blends startup-style initiative with enterprise governance to drive measurable outcomes.
10 years of coding experience
7 years of employment as a software developer
Msc in business analytics, Msc in business analytics at York University - Schulich School of BusinessBachelor of Economics, Economics. Marketing. Finance, 85%, Bachelor of Economics, Economics. Marketing. Finance, 85% at Shanghai International Studies University
English, Chinese, French
Github Skills (8)
distributed-systems10
go10
cryptography10
blockchain10
testing9
debug9
internet-of-things8
crypto8
Programming languages (6)
Github contributions (5)
iotexproject/iotex-core
Oct 2019 - Jan 2020
Official implementation of IoTeX blockchain protocol in Go. An ultra-efficient EVM blockchain offering 1000 TPS with instant 1-block finality. Perfect for DeFi, DePIN tokenomics, Identities, and any trusted logic requiring Web3 composability
Role in this project:
Back-end Developer
Back-end DeveloperContributions:7 commits, 11 PRs, 2 pushes in 2 months
Contributions summary:Chang primarily contributed to bug fixes and code improvements within the IoTeX blockchain protocol's Go implementation. Their work included addressing issues related to port handling, resolving ineffassign warnings, and adding tests. The contributions touch upon critical areas such as consensus mechanisms, action processing, and state management. The user also added a private network configuration option and improved crypto sorting.
internet-of-trusted-thingscryptographymachinefigolangconsensus
willstudy/willstudy.github.io
Sep 2017 - Apr 2024
Contributions:42 pushes, 1 branch in 6 years 7 months
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